29 citations · 32 across the 7 of their papers we have counts for
5 papers · 1 filter
NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes
Ramon Ruiz-Dolz, Joaquin Taverner, John Lawrence +1
Some of the major limitations identified in the areas of argument mining, argument generation, and natural language argument analysis are related to the complexity of annotating ar…
VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining
Ramon Ruiz-Dolz, Javier Iranzo-Sánchez
In this paper, we describe VivesDebate-Speech, a corpus of spoken argumentation created to leverage audio features for argument mining tasks. The creation of this corpus represents…
A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Study
Ramon Ruiz-Dolz
The rVRAIN team tackled the Budget Argument Mining (BAM) task, consisting of a combination of classification and information retrieval sub-tasks. For the argument classification (A…
Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks
Ramon Ruiz-Dolz, Stella Heras, Ana García-Fornes
The lack of annotated data on professional argumentation and complete argumentative debates has led to the oversimplification and the inability of approaching more complex natural…
Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation
Ramon Ruiz-Dolz, Stella Heras, Jose Alemany +1
Argument Mining is defined as the task of automatically identifying and extracting argumentative components (e.g., premises, claims, etc.) and detecting the existing relations amon…